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proactive-agent-3.1.0
作者
cp33333333333
· GitHub ↗
· v1.0.0
· MIT-0
339
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install proactive-agent1
功能描述
Transform AI agents from task-followers into proactive partners that anticipate needs and continuously improve. Now with WAL Protocol, Working Buffer, Autono...
安全使用建议
This bundle appears to implement a plausible proactive-agent architecture and includes a harmless local security-audit script, but there are contradictory directives about acting without permission and several places that instruct broad tool use (spawn agents, run searches, write files). Before installing or enabling autonomous invocation: 1) Inspect and remove or reword lines that say "Don't ask permission" or "Ask forgiveness, not permission" if you want strict gating; 2) Ensure your agent runtime enforces human approval for outbound actions (sending messages, deleting files, external network access); 3) Run the provided ./scripts/security-audit.sh in an isolated workspace to see what local secrets/configs it flags; 4) If you plan to let the skill write to local memory files, verify .credentials and other sensitive files are properly protected and gitignored; 5) Prefer enabling this skill in a sandboxed environment first and monitor any autonomous actions. If you want higher assurance, ask the maintainer for clarification on the ambiguous permission rules and an explicit list of actions that require user approval.
功能分析
Type: OpenClaw Skill
Name: proactive-agent1
Version: 1.0.0
The bundle provides a comprehensive framework for building proactive AI agents with a strong emphasis on memory persistence and security hardening. It includes a defensive security audit script (scripts/security-audit.sh) that checks for exposed secrets and improper file permissions, and its core instructions (SKILL.md, AGENTS.md) explicitly mandate treating external content as untrusted data to prevent prompt injection. While it encourages 'relentless resourcefulness' in tool usage, it balances this with strict guardrails requiring human approval for external actions and deletions.
能力评估
Purpose & Capability
Name/description (proactive, WAL, working buffer, heartbeats) align with the included docs and scripts: the skill expects to read/write workspace files (SESSION-STATE.md, memory/*, USER.md, etc.) and to run a local security audit script. There are no unexpected external credentials or binaries requested. Minor inconsistency: some files (AGENTS.md, SOUL.md) contain statements like "Don't ask permission. Just do it." which conflict with other guardrails in the same bundle that require human approval for external or destructive actions.
Instruction Scope
SKILL.md and supporting docs instruct the agent to scan messages, write to SESSION-STATE.md and working-buffer files, run ./scripts/security-audit.sh, search memory, and 'try 5–10 approaches' including spawning agents and using tools. Those behaviours are coherent with a proactive-agent purpose, but several directives are ambiguous or contradictory: some places explicitly forbid external actions without approval, while others encourage acting without asking. That ambiguity grants broad discretionary power to the agent at runtime if the host does not enforce explicit action gating.
Install Mechanism
No install spec is present (instruction-only plus one audit script). No remote downloads or package installs. The included shell script is local and readable; it performs benign checks (file permissions, grep/scan) and does not download or execute remote code.
Credentials
The skill declares no required environment variables or credentials. The docs reference local config paths (e.g., .credentials/, $HOME/.clawdbot/clawdbot.json) and expect the agent to check them, which is plausible for a stateful agent. Because the skill doesn't request cloud credentials, there's no apparent overreach — but the agent will be instructed to read/write/work with local files that may contain secrets, so ensure those files are protected.
Persistence & Privilege
The skill is not marked always:true (good) and uses the normal autonomous invocation model. However, multiple places in the content encourage autonomous action without explicit user approval (e.g., 'Don't ask permission. Just do it.' and 'Ask forgiveness, not permission'), which increases risk when combined with default autonomous invocation. Platform-level gating for outbound actions and approvals is recommended before enabling this skill.
如何使用
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install proactive-agent1 - 安装完成后,直接呼叫该 Skill 的名称或使用
/proactive-agent1触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
Proactive-agent 1.0.0 — initial public release.
- Introduces a proactive, self-improving architecture for AI agents.
- Features the WAL Protocol for robust memory, Working Buffer, Compaction Recovery, Unified Search, and enhanced security.
- Supports proactive check-ins, reverse prompting, and autonomy via autonomous/prompted crons.
- Includes tool migration guides and self-improvement guardrails.
- Part of the Hal Stack.
元数据
常见问题
proactive-agent-3.1.0 是什么?
Transform AI agents from task-followers into proactive partners that anticipate needs and continuously improve. Now with WAL Protocol, Working Buffer, Autono... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 339 次。
如何安装 proactive-agent-3.1.0?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install proactive-agent1」即可一键安装,无需额外配置。
proactive-agent-3.1.0 是免费的吗?
是的,proactive-agent-3.1.0 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
proactive-agent-3.1.0 支持哪些平台?
proactive-agent-3.1.0 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 proactive-agent-3.1.0?
由 cp33333333333(@cp33333333333)开发并维护,当前版本 v1.0.0。
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